Français Anglais
Accueil Annuaire Plan du site
Home > Research results > Dissertations & habilitations
Research results
Ph.D de

Ph.D
Group : Large-scale Heterogeneous DAta and Knowledge

Adaptive Methods for User-Centric Information Access Applications

Starts on 01/10/2014
Advisor : CAUTIS, Bogdan

Funding : Contrat doctoral uniquement recherche
Affiliation : Université Paris-Sud
Laboratory : LRI - LaHDAK

Defended on 12/10/2017, committee :
Rapporteurs:
Ludovic Denoyer, UPMC Université Paris 6 (France)
Pierre Senellart, Ecole Normale Supérieure (France)

Examinateurs:
Aurélien Garivier, Université Paul Sabatier (France)
Stratis Ioannidis, Northeastern University (Etats-Unis)
Themis Palpanas, Université Paris Descartes (France)
Fabian Suchanek, Télécom ParisTech (France)

Directeurs de thèse:
Olivier Cappé, LIMSI (France)
Bogdan Cautis, Université Paris-Sud (France)

Research activities :

Abstract :
When users interact on modern Web systems, they let numerous footprints which we
propose to exploit in order to develop better applications for information
access. We study a family of techniques centered on users, which take advantage
of the many types of feedback to adapt and improve services provided to users.
The first part of this thesis is dedicated to an approach for as-you-type search
on social media. The problem consists in retrieving a set of k search results in
a social-aware environment under the constraint that the query may be incomplete
(e.g., if the last term is a prefix). We adopt a "network-aware" interpretation
of information relevance, by which information produced by users who are closer
to the user issuing a request is considered more relevant. Then, we study a
generic version of influence maximization, in which we want to maximize the
influence of marketing or information campaigns by adaptively selecting "spread
seeds" from a small subset of the population. Finally, we propose to address the
well-known cold start problem faced by recommender systems with an adaptive
approach. We introduce a bandit algorithm that aims to intelligently achieve the
balance between "bad" and "good" recommendations.

Ph.D. dissertations & Faculty habilitations
DESIGNING INTERACTIVE TOOLS FOR CREATORS AND CREATIVE WORK
Creative work has been at the core of research in Human-Computer Interaction (HCI). I describe the results of a series of studies that look at how creators work, where creators include artists with years of professional practice, as well as learners, or novices and casual makers. My research focuses on three creation activities: drawing, physical modeling, and music composition. For these activities, I examine how artists switch between representations and how these representations evolve throughout their creative process, from early sketches to fine-grained forms or structured vocabularies. I present interactive systems that enrich their workflow (i) by extending their computer tools with physical user interfaces, or (ii) by making physical materials interactive. I also argue that sketch-based representations can allow for user interfaces that are more personal and less rigid. My presentation will reflect on lessons and limitations of this work and discuss challenges for future design-support tools.

INCREASING THE BANDWIDTH OF INTERACTIVE VISUALIZATIONS, USING COMPLEX DISPLAY ENVIRONMENTS AND TARGETED DESIGNS
Interactive visualizations combine human computer interaction, visual design, perception theory, as well as data processing methods in order to propose visual data representations that amplify cognition, and aid data exploration and understanding. We can consider visualization as a communication medium or channel between humans and their data. The higher the communication bandwidth (the data that can be communicated and understood), the more effective the visualization is. My research attempts to increase the bandwidth of this communication channel in the following two ways. (i) First, by moving away from traditional desktops towards larger displays that can both render larger amounts of data and can accommodate multiple viewers. (ii) And second, by designing and studying appropriate visual representations that show salient information. In my presentation I will describe my work on these topics, the challenges it tries to address, and discuss the methodology and inspiration behind this research.

MODéLISATION DE SYSTèME PHYSIQUES PAR APPRENTISSAGE STATISTIQUE PROFOND